Senior Manager, Data Science

Scotts Co

Lead a data science team at Scotts Miracle-Gro to develop ML and analytics solutions. Manage commercial questions and set technical standards for modeling and impact analysis.

Posted 7/23/2026full-timeMarysville • Ohio • 🇺🇸 United StatesSenior💰 $175,700 - $206,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science teams to deliver production-quality machine learning models and analytics, with a strong focus on CI/CD processes, model evaluation, and business impact. Proficient in integrating AI tools into workflows and communicating complex concepts to non-technical stakeholders.

Highest-signal resume keywords

Machine Learning FoundationsProduction-Quality PythonCI/CD for MLAI Coding and Analysis ToolsData Science Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsStatisticsTime-Series ForecastingCausal ModelingRegressionClassificationModel Evaluation StandardsSuccess MetricsReproducible PipelinesMonitoring

Soft Skills

CoachingPrioritizationCommunication

Tools & Technologies

GitTestingContainersAPIsModel VersioningLineage TrackingRetrainingRollbackGovernanceAI Coding Tools

Industry Keywords

ML LifecycleBusiness OutcomesStakeholder ManagementLLM EvaluationRAGEmbeddingsVector SearchAgent Workflows

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead a data science team turning commercial questions into production ML and analytics
Deliver models across families: time-series forecasting, causal modeling, regression, classification
Set evaluation standards for models and define success metrics
Integrate AI coding and analysis agents into daily workflow to automate work
Own CI/CD for ML, model and data versioning, lineage tracking, and monitoring

Requirements

What you’ll need

Strong ML foundations with solid grounding in ML algorithms and statistics
Production-quality Python; reproducible pipelines; fluent with Git, testing, containers, and APIs
Hands-on experience operating a mature ML lifecycle: CI/CD for ML, model and data versioning and lineage, monitoring, retraining, rollback, and governance at scale
Confident daily use of AI coding and analysis tools; understanding of LLM evaluation, RAG, embeddings, vector search, and agent workflows
Track record leading and growing a data science team, coaching individuals, and prioritizing across competing stakeholders
Demonstrated ability to tie modeling work to measurable business outcomes and to explain it to non-technical leaders.

Benefits

Comp & perks

Medical, dental and vision coverage for you, your spouse/domestic partner and dependents
Wellness reimbursement program
401K match (up to 7.5%)
15% discount on company stock
Adoption, fertility and surrogacy support